Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models
arXiv:2604.18199v1 Announce Type: new
Abstract: Transformer-based embedding models suffer from quadratic computational and linear memory complexity, limiting their utility for long sequences. We propose recurrent architectures as an efficient alternat…